Data Science Consultant
Bangalore, Karnataka, India
Experience: 5-8 years
Overview:Ā We are looking for a seasoned Data Scientist with expertise in Machine Learning and Time Series/optimization to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.
Key Responsibilities:
- Develop and implement advanced machine learning models sin client projects
- Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
- Train robust machine learning model, time series/Optimization model over structured data
- Good understanding of optimization techniques like MIP, MILP, preferably hands on experience on optimization.
- Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
- Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing.
- Mentor juniors and other team members and drive client project successCommunicate results and insights effectively to both technical and non-technical stakeholders.
Qualifications:
- Bachelorās or Masterās degree in Computer Science, Statistics, Mathematics, Data Science, Economics or a related field;Ā
- Strong programming skills in Python and SQL
- In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
- Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
- Hands on code version control , docker based model deployment knowledge fundamentalsĀ
- Comfortable with atleast one cloud provider between Azure, GCP or AWS
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.
- Good To have : Gen AI or Rag or Agentic Ai experience
- A person with knowledge of Time Series and optimization will be preferred.
Experience: 5-8 years
Overview:Ā We are looking for a seasoned Data Scientist with expertise in Machine Learning and Time Series/optimization to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.
Key Responsibilities:
- Develop and implement advanced machine learning models sin client projects
- Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
- Train robust machine learning model, time series/Optimization model over structured data
- Good understanding of optimization techniques like MIP, MILP, preferably hands on experience on optimization.
- Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
- Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing.
- Mentor juniors and other team members and drive client project successCommunicate results and insights effectively to both technical and non-technical stakeholders.
Qualifications:
- Bachelorās or Masterās degree in Computer Science, Statistics, Mathematics, Data Science, Economics or a related field;Ā
- Strong programming skills in Python and SQL
- In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
- Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
- Hands on code version control , docker based model deployment knowledge fundamentalsĀ
- Comfortable with atleast one cloud provider between Azure, GCP or AWS
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.
- Good To have : Gen AI or Rag or Agentic Ai experience
- A person with knowledge of Time Series and optimization will be preferred.
Experience: 5-8 years
Overview:Ā We are looking for a seasoned Data Scientist with expertise in Machine Learning and Time Series/optimization to join our dynamic team. This is an exciting opportunity to work on challenging data science projects and make a significant impact on our client outcome.
Key Responsibilities:
- Develop and implement advanced machine learning models sin client projects
- Perform data preprocessing, feature engineering, and exploratory data analysis to extract meaningful insights from large datasets.
- Train robust machine learning model, time series/Optimization model over structured data
- Good understanding of optimization techniques like MIP, MILP, preferably hands on experience on optimization.
- Evaluate model performance using appropriate metrics and refine models for improved accuracy and efficiency.
- Develop and maintain documentation for models, processes, and code to ensure reproducibility and knowledge sharing.
- Mentor juniors and other team members and drive client project successCommunicate results and insights effectively to both technical and non-technical stakeholders.
Qualifications:
- Bachelorās or Masterās degree in Computer Science, Statistics, Mathematics, Data Science, Economics or a related field;Ā
- Strong programming skills in Python and SQL
- In-depth knowledge of machine learning algorithms, statistical methods and used them in client engagements
- Hands-on experience with time series forecasting models such as ARIMA, SARIMA, Exponential Smoothing, Prophet, LSTM, and others.
- Hands on code version control , docker based model deployment knowledge fundamentalsĀ
- Comfortable with atleast one cloud provider between Azure, GCP or AWS
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills, with the ability to explain complex analytical concepts to non-technical audiences.
- Good To have : Gen AI or Rag or Agentic Ai experience
- A person with knowledge of Time Series and optimization will be preferred.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: AWS Azure Computer Science Data analysis Docker Economics EDA Engineering Feature engineering GCP Generative AI LSTM Machine Learning Mathematics ML models Model deployment Python RAG SQL Statistics
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